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Course Outline

Introduction to BI Modernization with WrenAI

  • Limitations of legacy BI systems
  • Key capabilities of WrenAI
  • Drivers for modernization and resulting business outcomes

Assessing Legacy BI Environments

  • Inventory of existing dashboards and reports
  • Identifying high-value use cases
  • Gap analysis between legacy BI and WrenAI

Adoption Strategy

  • Stakeholder engagement and alignment
  • Pilot projects and proof of value
  • Developing a roadmap for adoption

Migration Planning

  • Approaches to dashboard migration
  • Data model alignment and transformation
  • Ensuring continuity during migration

Conversational Analytics with WrenAI

  • Generation of SQL queries from natural language
  • Interactive data exploration
  • Designing user-centric analytics experiences

Embedded GenBI

  • Integrating WrenAI dashboards into applications
  • APIs for extending BI capabilities
  • Use cases for internal tools and customer-facing apps

Change Management for BI Modernization

  • Communicating change across the organization
  • Training and upskilling teams
  • Measuring adoption success

Scaling and Future Evolution

  • Expanding adoption across business units
  • Governance and standardization in modern BI
  • Future trends in conversational and generative BI

Summary and Next Steps

Requirements

  • Familiarity with business intelligence workflows
  • Experience with legacy BI platforms and dashboards
  • Understanding of organizational change management principles

Target Audience

  • BI managers
  • Data platform product managers
  • Solutions architects
 14 Hours

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